# Data and Replication Materials for "Determinants and Effects of Buy Box Suppression on Amazon"

This repository contains data and replication materials for:

> Jeffrey Gleason, Shuo Zhang, and Christo Wilson. 2026. Determinants and Effects of Buy Box Suppression on Amazon. In Proceedings of the ACM Web Conference 2026 (WWW ’26), April 13–17, 2026, Dubai, United Arab Emirates. ACM, New York, NY, USA, 12 pages. https://doi.org/10.1145/3774904.3792473

## Contents

### Replication Materials (`replication.zip`)

Complete replication package including:
- Processed datasets used in the analysis
- Jupyter notebooks for figures and descriptive statistics
- Python and R scripts for estimation
- Intermediate results for computationally intensive steps

See `replication/README.md` for detailed instructions on reproducing the paper's results.

### Raw Data (`2024_3_*.zip`)

Seven zip files containing web-scraped e-commerce data tracking ~18K products on Amazon.com at hourly intervals:

| File | Date |
|------|------|
| `2024_3_13.zip` | March 13, 2024 |
| `2024_3_14.zip` | March 14, 2024 |
| `2024_3_15.zip` | March 15, 2024 |
| `2024_3_16.zip` | March 16, 2024 |
| `2024_3_17.zip` | March 17, 2024 |
| `2024_3_18.zip` | March 18, 2024 |
| `2024_3_19.zip` | March 19, 2024 |

Each file contains scraped Amazon product data including prices, ratings, sales rank, and corresponding offers from ~60K unique competitors. Contact the author if additional weeks of data would be useful.

### Data Cleaning (`data_cleaning.zip`)

Scripts to clean and process the raw scraped data into analysis-ready datasets. Produces processed data with the same structure as `replication/data/processed/`. See `data_cleaning/DATA_DICTIONARY.md` for detailed variable descriptions.

## Citation

If you use this data or code, please cite the WWW paper.
